{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T13:29:51Z","timestamp":1780320591693,"version":"3.54.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2017,5,1]],"date-time":"2017-05-01T00:00:00Z","timestamp":1493596800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/jstars.2017.2662484","type":"journal-article","created":{"date-parts":[[2017,2,23]],"date-time":"2017-02-23T22:47:06Z","timestamp":1487890026000},"page":"2012-2021","source":"Crossref","is-referenced-by-count":12,"title":["Similarity-Based Multiple Kernel Learning Algorithms for Classification of Remotely Sensed Images"],"prefix":"10.1109","volume":"10","author":[{"given":"Saeid","family":"Niazmardi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdolreza","family":"Safari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saeid","family":"Homayouni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2048116"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/0034-4257(88)90106-X"},{"key":"ref33","article-title":"Optimizing kernel alignment over combinations of kernel","author":"kandola","year":"0","journal-title":"Proc 19th Int Conf Mach Learn"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2008.139"},{"key":"ref31","first-page":"63","article-title":"Measuring statistical dependence with Hilbert-Schmidt norms","author":"gretton","year":"0","journal-title":"Proc Int Conf Algorithmic Learn Theory"},{"key":"ref30","first-page":"1","article-title":"Fast kernel learning for spatial pyramid matching","author":"he","year":"0","journal-title":"Proc 2008 IEEE Conf Comput Vis Pattern Recog"},{"key":"ref37","first-page":"309","article-title":"Monitoring vegetation systems in the great plains with ERTS","author":"rouse","year":"1974"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2013.2244851"},{"key":"ref35","article-title":"AVIRIS image Indian Pine Test Site, Purdue University, West Lafayette, School of Engineering","author":"landgrebe","year":"2004"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1080\/01431160802559046"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.04.006"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2010.512425"},{"key":"ref11","first-page":"795","article-title":"Algorithms for learning kernels based on centered alignment","volume":"13","author":"cortes","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2005.857031"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.916201"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2015341"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2049496"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2176341"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2362116"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"2119","DOI":"10.1109\/JSTARS.2014.2318181","article-title":"Model selection and classification with multiple kernel learning for hyperspectral images via sparsity","volume":"7","author":"gu","year":"2014","journal-title":"IEEE J Sel Topics Appl Earth Obs Remote Sens"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2530807"},{"key":"ref28","first-page":"997","article-title":"Efficient and accurate Lp-norm multiple kernel learning","author":"kloft","year":"0","journal-title":"Proc Adv Neural Inf Process Syst Conf"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1201\/b10599-12"},{"key":"ref27","first-page":"367","article-title":"On kernel-target alignment","volume":"14","author":"cristianini","year":"2001","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.10.002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2010.11.001"},{"key":"ref29","first-page":"953","article-title":"Lp-norm multiple kernel learning","volume":"12","author":"kloft","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.846154"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1354","DOI":"10.1109\/TPAMI.2013.212","article-title":"Multiple kernel learning for visual object recognition: A review","volume":"36","author":"bucak","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref7","first-page":"2211","article-title":"Multiple kernel learning algorithms","volume":"12","author":"g\u00f6nen","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2393857"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.09.002"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5721\/EuJRS20144723"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"5312","DOI":"10.1109\/TGRS.2015.2421051","article-title":"A novel MKL model of integrating LiDAR data and MSI for urban area classification","volume":"53","author":"gu","year":"2015","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref45","first-page":"2491","article-title":"SimpleMKL","volume":"9","author":"rakotomamonjy","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2514161"},{"key":"ref47","author":"grant","year":"2008"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1991","DOI":"10.1109\/LGRS.2014.2316141","article-title":"Semisupervised classification for hyperspectral imagery with transductive multiple-kernel learning","volume":"11","author":"sun","year":"2014","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"ref42","first-page":"101","article-title":"In defense of one-vs-all classification","volume":"5","author":"rifkin","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2230268"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2513002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2600522"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.897425"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2007.070208"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.09.006"},{"key":"ref25","article-title":"‘One against one’ or ‘one against all’: Which one is better for handwriting recognition with SVMs?","author":"milgram","year":"0","journal-title":"Proc 10th Int Workshop Front Handwriting Recog La Baule (France)"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/7895222\/07862816.pdf?arnumber=7862816","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:27:06Z","timestamp":1642004826000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7862816\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":47,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/jstars.2017.2662484","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5]]}}}